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  • Search: subject:"fuzzy time series forecasting"
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Year of publication
Subject
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Adaptive fuzzy time series forecasting model 1 Air pollution 1 Decision support system 1 Evolutionary algorithm 1 Forecasting 1 Forecasting model 1 Fuzzy sets 1 Fuzzy time series forecasting 1 Fuzzy-Set-Theorie 1 GA 1 Interval calibration 1 Luftverschmutzung 1 Prognoseverfahren 1 Simulation 1 Supply chain risk management 1 Time series analysis 1 Zeitreihenanalyse 1 air quality index forecasting 1 fuzzy time series forecasting 1 hesitant fuzzy set 1 intuitionistic fuzzy set 1 neutrosophic fuzzy set 1 traditional fuzzy set 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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research-article 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 3
Author
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Chan, Felix T.S. 1 Chandra, Charu 1 Chung, S.H. 1 Ghildayal, Sarit K 1 Jain, Vipul 1 Kumar, Sameer 1 Panigrahi, Sibarama 1 Pradhan, Sushree Subhaprada 1 Sakhuja, Sumit 1 Samvedi, Avinash 1
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Published in...
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Industrial Management & Data Systems 2 Journal of forecasting 1
Source
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Other ZBW resources 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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A study and development of high-order fuzzy time series forecasting methods for air quality index forecasting
Pradhan, Sushree Subhaprada; Panigrahi, Sibarama - In: Journal of forecasting 43 (2024) 7, pp. 2635-2658
Persistent link: https://www.econbiz.de/10015110531
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Genetic algorithm based fuzzy time series tourism demand forecast model
Sakhuja, Sumit; Jain, Vipul; Kumar, Sameer; Chandra, Charu - In: Industrial Management & Data Systems 116 (2016) 3, pp. 483-507
Purpose – Many studies have proposed variant fuzzy time series models for uncertain and vague data. The purpose of this paper is to adapt a fuzzy time series combined with genetic algorithm (GA) to forecast tourist arrivals in Taiwan. Design/methodology/approach – Different cases are studied...
Persistent link: https://www.econbiz.de/10014825711
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Fuzzy time series forecasting for supply chain disruptions
Chan, Felix T.S.; Samvedi, Avinash; Chung, S.H. - In: Industrial Management & Data Systems 115 (2015) 3, pp. 419-435
Purpose – The purpose of this paper is to test the effectiveness of fuzzy time series (FTS) forecasting system in a supply chain experiencing disruptions and also to examine the changes in performance as the authors move across different tiers. Design/methodology/approach – A discrete event...
Persistent link: https://www.econbiz.de/10014825872
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